65 citations as recorded by crossref.

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2. CO<sub>2</sub> flux estimation errors associated with moist atmospheric processes N. Parazoo et al. 10.5194/acp-12-6405-2012
3. Atmospheric inversions for estimating CO2 fluxes: methods and perspectives P. Ciais et al. 10.1007/s10584-010-9909-3
4. Accounting for the vertical distribution of emissions in atmospheric CO<sub>2</sub> simulations D. Brunner et al. 10.5194/acp-19-4541-2019
5. Tracking the atmospheric pulse of a North American megacity from a mountaintop remote sensing observatory Z. Zeng et al. 10.1016/j.rse.2020.112000
6. Toward reduced transport errors in a high resolution urban CO2 inversion system A. Deng et al. 10.1525/elementa.133
7. Joint inverse estimation of fossil fuel and biogenic CO2 fluxes in an urban environment: An observing system simulation experiment to assess the impact of multiple uncertainties K. Wu et al. 10.1525/elementa.138
8. An atmospheric inversion over the city of Cape Town: sensitivity analyses A. Nickless et al. 10.5194/acp-19-7789-2019
9. Constraining regional greenhouse gas emissions using geostationary concentration measurements: a theoretical study P. Rayner et al. 10.5194/amt-7-3285-2014
10. A Multiyear Gridded Data Ensemble of Surface Biogenic Carbon Fluxes for North America: Evaluation and Analysis of Results Y. Zhou et al. 10.1029/2019JG005314
11. Diagnosing spatial error structures in CO<sub>2</sub> mole fractions and XCO<sub>2</sub> column mole fractions from atmospheric transport T. Lauvaux et al. 10.5194/acp-19-12007-2019
12. The Impact of COVID‐19 on CO2 Emissions in the Los Angeles and Washington DC/Baltimore Metropolitan Areas V. Yadav et al. 10.1029/2021GL092744
13. Estimates of CO<sub>2</sub> fluxes over the city of Cape Town, South Africa, through Bayesian inverse modelling A. Nickless et al. 10.5194/acp-18-4765-2018
14. Towards better error statistics for atmospheric inversions of methane surface fluxes A. Berchet et al. 10.5194/acp-13-7115-2013
15. A Lagrangian approach towards extracting signals of urban CO<sub>2</sub> emissions from satellite observations of atmospheric column CO<sub>2</sub> (XCO<sub>2</sub>): X-Stochastic Time-Inverted Lagrangian Transport model (“X-STILT v1”) D. Wu et al. 10.5194/gmd-11-4843-2018
16. Carbon Cycle Uncertainty in REgional Carbon Cycle Assessment and Processes (RECCAP) I. Enting et al. 10.5194/bg-9-2889-2012
17. Calibration of a multi-physics ensemble for estimating the uncertainty of a greenhouse gas atmospheric transport model L. Díaz-Isaac et al. 10.5194/acp-19-5695-2019
18. Hyperparameter estimation for uncertainty quantification in mesoscale carbon dioxide inversions L. Wu et al. 10.3402/tellusb.v65i0.20894
19. Error characterization of CO<sub>2</sub> vertical mixing in the atmospheric transport model WRF-VPRM R. Kretschmer et al. 10.5194/acp-12-2441-2012
20. Los Angeles megacity: a high-resolution land–atmosphere modelling system for urban CO<sub>2</sub> emissions S. Feng et al. 10.5194/acp-16-9019-2016
21. Evaluating atmospheric CO2 inversions at multiple scales over a highly inventoried agricultural landscape A. Schuh et al. 10.1111/gcb.12141
22. Nitrous oxide (N2O) emissions from California based on 2010 CalNex airborne measurements B. Xiang et al. 10.1002/jgrd.50189
23. Potential of European <sup>14</sup>CO<sub>2</sub> observation network to estimate the fossil fuel CO<sub>2</sub> emissions via atmospheric inversions Y. Wang et al. 10.5194/acp-18-4229-2018
24. Estimation of observation errors for large-scale atmospheric inversion of CO₂ emissions from fossil fuel combustion Y. Wang et al. 10.1080/16000889.2017.1325723
25. Assessing Lagrangian inverse modelling of urban anthropogenic CO2 fluxes using in situ aircraft and ground-based measurements in the Tokyo area I. Pisso et al. 10.1186/s13021-019-0118-8
26. Impact of transport model resolution and a priori assumptions on inverse modeling of Swiss F-gas emissions I. Katharopoulos et al. 10.5194/acp-23-14159-2023
27. Regional-scale evaluation of a land surface scheme from atmospheric boundary layer observations J. Noilhan et al. 10.1029/2010JD014671
28. High-resolution mapping of combustion processes and implications for CO<sub>2</sub> emissions R. Wang et al. 10.5194/acp-13-5189-2013
29. Towards monitoring the CO2 source–sink distribution over India via inverse modelling: quantifying the fine-scale spatiotemporal variability in the atmospheric CO2 mole fraction V. Thilakan et al. 10.5194/acp-22-15287-2022
30. Current systematic carbon-cycle observations and the need for implementing a policy-relevant carbon observing system P. Ciais et al. 10.5194/bg-11-3547-2014
31. Development of a Mesoscale Inversion System for Estimating Continental‐Scale CO2 Fluxes D. Wesloh et al. 10.1029/2019MS001818
32. Recommended coupling to global meteorological fields for long-term tracer simulations with WRF-GHG D. Ho et al. 10.5194/gmd-17-7401-2024
33. Comparison of atmospheric CO2 mole fractions and source–sink characteristics at four WMO/GAW stations in China S. Cheng et al. 10.1016/j.atmosenv.2018.03.010
34. Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al. 10.5194/acp-19-13911-2019
35. Urban high-resolution fossil fuel CO2 emissions quantification and exploration of emission drivers for potential policy applications R. Patarasuk et al. 10.1007/s11252-016-0553-1
36. Natural and anthropogenic methane fluxes in Eurasia: a mesoscale quantification by generalized atmospheric inversion A. Berchet et al. 10.5194/bg-12-5393-2015
37. The constraint of CO<sub>2</sub> measurements made onboard passenger aircraft on surface–atmosphere fluxes: the impact of transport model errors in vertical mixing S. Verma et al. 10.5194/acp-17-5665-2017
38. Optimal representation of source-sink fluxes for mesoscale carbon dioxide inversion with synthetic data L. Wu et al. 10.1029/2011JD016198
39. CO<sub>2</sub> dispersion modelling over Paris region within the CO<sub>2</sub>-MEGAPARIS project C. Lac et al. 10.5194/acp-13-4941-2013
40. Optimizing the Spatial Resolution for Urban CO2 Flux Studies Using the Shannon Entropy J. Liang et al. 10.3390/atmos8050090
41. The Indianapolis Flux Experiment (INFLUX): A test-bed for developing urban greenhouse gas emission measurements K. Davis et al. 10.1525/elementa.188
42. Quantifying the constraint of biospheric process parameters by CO<sub>2</sub> concentration and flux measurement networks through a carbon cycle data assimilation system E. Koffi et al. 10.5194/acp-13-10555-2013
43. An attempt at estimating Paris area CO<sub>2</sub> emissions from atmospheric concentration measurements F. Bréon et al. 10.5194/acp-15-1707-2015
44. Flow-dependent observation errors for greenhouse gas inversions in an ensemble Kalman smoother M. Steiner et al. 10.5194/acp-24-12447-2024
45. Online coupled regional meteorology chemistry models in Europe: current status and prospects A. Baklanov et al. 10.5194/acp-14-317-2014
46. Ensemble Dispersion Simulation of a Point-Source Radioactive Aerosol Using Perturbed Meteorological Fields over Eastern Japan T. Sekiyama et al. 10.3390/atmos12060662
47. Emissions estimation from satellite retrievals: A review of current capability D. Streets et al. 10.1016/j.atmosenv.2013.05.051
48. High‐resolution atmospheric inversion of urban CO2 emissions during the dormant season of the Indianapolis Flux Experiment (INFLUX) T. Lauvaux et al. 10.1002/2015JD024473
49. Characterization of Regional‐Scale CO2 Transport Uncertainties in an Ensemble with Flow‐Dependent Transport Errors H. Chen et al. 10.1029/2018GL081341
50. A constrained least-squares approach to combine bottom-up and top-down CO2 flux estimates D. Cooley et al. 10.1007/s10651-012-0211-6
51. Bridging the gap between atmospheric concentrations and local ecosystem measurements T. Lauvaux et al. 10.1029/2009GL039574
52. Objectified quantification of uncertainties in Bayesian atmospheric inversions A. Berchet et al. 10.5194/gmd-8-1525-2015
53. Data assimilation using an ensemble of models: a hierarchical approach P. Rayner 10.5194/acp-20-3725-2020
54. Recent global CO<sub>2</sub> flux inferred from atmospheric CO<sub>2</sub> observations and its regional analyses F. Deng & J. Chen 10.5194/bg-8-3263-2011
55. Model‐data comparison of MCI field campaign atmospheric CO2 mole fractions L. Díaz Isaac et al. 10.1002/2014JD021593
56. Constraining the CO<sub>2</sub> budget of the corn belt: exploring uncertainties from the assumptions in a mesoscale inverse system T. Lauvaux et al. 10.5194/acp-12-337-2012
57. Overview of the Meso-NH model version 5.4 and its applications C. Lac et al. 10.5194/gmd-11-1929-2018
58. The Resolvable Scales of Regional‐Scale CO2 Transport in the Context of Imperfect Meteorology: The Predictability of CO2 in a Limited‐Area Model J. Kim et al. 10.1029/2021JD034896
59. Evaluation of various observing systems for the global monitoring of CO<sub>2</sub> surface fluxes K. Hungershoefer et al. 10.5194/acp-10-10503-2010
60. Biases in atmospheric CO<sub>2</sub> estimates from correlated meteorology modeling errors S. Miller et al. 10.5194/acp-15-2903-2015
61. A European summertime CO2biogenic flux inversion at mesoscale from continuous in situ mixing ratio measurements G. Broquet et al. 10.1029/2011JD016202
62. CO<sub>2</sub> budgeting at the regional scale using a Lagrangian experimental strategy and meso-scale modeling C. Sarrat et al. 10.5194/bg-6-113-2009
63. Detecting regional variability in sources and sinks of carbon dioxide: a synthesis A. Dolman et al. 10.5194/bg-6-1015-2009
64. Mesoscale modelling of the CO<sub>2</sub> interactions between the surface and the atmosphere applied to the April 2007 CERES field experiment C. Sarrat et al. 10.5194/bg-6-633-2009
65. CO2 surface fluxes at grid point scale estimated from a global 21 year reanalysis of atmospheric measurements F. Chevallier et al. 10.1029/2010JD013887